Datasets:

Modalities:
Tabular
Text
Formats:
csv
Languages:
Portuguese
ArXiv:
DOI:
Libraries:
Datasets
pandas
License:
FpOliveira commited on
Commit
de6b18c
·
1 Parent(s): 92c1f71

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -4
README.md CHANGED
@@ -52,10 +52,10 @@ root.
52
  To safeguard user identity and uphold the integrity of this dataset, all user mentions have been anonymized as "@user," and any references to external websites have been omitted
53
 
54
  ## Annotation and voting process
55
- To generate the binary matrices, we employed a straightforward voting process. Three distinct evaluations were assigned to each document.
56
- In cases where a document received two or more identical classifications, the adopted value is set to 1; otherwise, it is marked as 0.
57
- Annotated Raw data can be accessed into the [project repository](https://github.com/Silly-Machine/TuPy-Dataset)
58
- The subsequent table provides a concise summary of the annotators' profiles and qualifications:
59
 
60
  #### Table 1 – Annotators
61
 
 
52
  To safeguard user identity and uphold the integrity of this dataset, all user mentions have been anonymized as "@user," and any references to external websites have been omitted
53
 
54
  ## Annotation and voting process
55
+ To generate the binary matrices, we utilized a simple voting process. Each document underwent three separate evaluations.
56
+ If a document received two or more identical classifications, the assigned value was set to 1; otherwise, it was marked as 0.
57
+ The annotated raw data can be accessed in the [project repository](https://github.com/Silly-Machine/TuPy-Dataset).
58
+ The following table offers a brief summary of the annotators' profiles and qualifications:
59
 
60
  #### Table 1 – Annotators
61